{"id":"W2049681542","doi":"10.1371/journal.pone.0084313","title":"Biochemical Phenotypes to Discriminate Microbial Subpopulations and Improve Outbreak Detection","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Biology; Outbreak; Microbiology; Veterinary medicine; Medicine; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000506906,0.00007524458,0.00007799865,0.00002456965,0.00006961596,0.00006178162,0.00005744737,0.0000724655,0.000035555],"category_scores_gemma":[0.0002078986,0.00007691863,0.00002068378,0.00004393081,0.00002954407,0.00000603214,0.00007336977,0.00004169849,0.00005271501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009190404,"about_ca_system_score_gemma":0.000008071084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502111,"about_ca_topic_score_gemma":0.00009294702,"domain_scores_codex":[0.9994305,0.00002063245,0.0001316108,0.0002471786,0.00005154564,0.0001184825],"domain_scores_gemma":[0.9995984,0.000005924673,0.00003158577,0.0001820091,0.0001013999,0.00008068691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001209678,0.0001314191,0.001591508,0.00001931985,0.00001907382,3.349619e-8,0.00004276707,1.535335e-7,0.9963232,0.000008214062,0.00008964023,0.001762547],"study_design_scores_gemma":[0.0001227428,0.00006659223,0.03479533,0.00001053169,0.00002485863,7.461231e-7,0.00002853158,0.00007635367,0.9646154,0.00007179921,0.00008240555,0.0001047248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987972,0.00002142082,0.0003110981,0.0004043539,0.00005130912,0.0002684614,0.00001187671,0.00002075742,0.0001135459],"genre_scores_gemma":[0.9964123,0.000004646841,0.002640276,0.0001311923,0.0001702551,0.00003985791,0.00007080358,0.00001125389,0.0005194386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03320382,"threshold_uncertainty_score":0.3136651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314851591156314,"score_gpt":0.2232965070183671,"score_spread":0.200147991106804,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}